Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Visualization of biological texture using correlation coefficient images.

Alexander P Sviridov, Zachary Ulissi, Victor Chernomordik

    Journal of Biomedical Optics
    |January 11, 2007
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    From Traditional to Cutting-Edge: A Review of Fetal Well-Being Assessment Techniques.

    IEEE transactions on bio-medical engineering·2025
    Same author

    The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture.

    ACS central science·2024
    Same author

    Modification of a Conventional Deep Learning Model to Classify Simulated Breathing Patterns: A Step toward Real-Time Monitoring of Patients with Respiratory Infectious Diseases.

    Sensors (Basel, Switzerland)·2023
    Same author

    Beyond independent error assumptions in large GNN atomistic models.

    The Journal of chemical physics·2023
    Same author

    Electrophysiological Evidence for Interhemispheric Connectivity and Communication in Young Human Infants.

    Brain sciences·2023
    Same author

    <i>WhereWulff</i>: A Semiautonomous Workflow for Systematic Catalyst Surface Reactivity under Reaction Conditions.

    Journal of chemical information and modeling·2023
    Same journal

    Segmentation-guided photon pooling enables robust single-cell analysis and fast fluorescence lifetime imaging microscopy.

    Journal of biomedical optics·2026
    Same journal

    Method of spatial scanning of modulated laser radiation for outline imaging of interphalangeal joints.

    Journal of biomedical optics·2026
    Same journal

    Multimodal optical imaging for the assessment of the teratogenic effects of ethanol on zebrafish development.

    Journal of biomedical optics·2026
    Same journal

    Fluorescence properties of collagen types I-V: a comprehensive study of spectral and lifetime characteristics.

    Journal of biomedical optics·2026
    Same journal

    Spectral dependence of lipofuscin fluorescence lifetimes revealed by FLIM with a superconducting nanowire single-photon detector.

    Journal of biomedical optics·2026
    Same journal

    Building the future of biophotonics through experiential education and seasonal schools.

    Journal of biomedical optics·2026
    See all related articles

    This study visualizes subsurface biological tissue structures using polarized light imaging and Pearson correlation coefficient analysis. This method enhances tissue texture and structural details, improving image clarity for analysis.

    Area of Science:

    • Biomedical optics
    • Image processing
    • Materials science

    Background:

    • Polarized light imaging is utilized for visualizing subsurface biological tissue structures.
    • Unpolarized backscattered light causes blurring in these images, obscuring fine details.
    • Pearson correlation coefficient analysis is explored as a method to mitigate this blurring.

    Discussion:

    • The Pearson correlation coefficient analysis effectively reduces blurring caused by unpolarized backscattered light.
    • This technique highlights regions of high statistical similarity within noisy polarized light images.
    • The resulting correlation coefficient maps can reveal intrinsic tissue textural characteristics, independent of the region of interest.

    Key Insights:

    • Developed a novel image processing technique using Pearson correlation coefficient analysis for enhanced visualization of subsurface biological tissue.

    Related Experiment Videos

  • Demonstrated that the technique is sensitive to tissue texture, offering insights into structural properties.
  • Successfully applied the method to enhance the subsurface texture of a demineralized tooth sample from a noisy polarized light image.
  • Outlook:

    • Potential applications in non-invasive diagnostic imaging and detailed structural analysis of biological tissues.
    • Further research could explore optimizing parameters for different tissue types and imaging conditions.
    • This technique may advance the understanding of tissue microstructure and its relationship to pathological changes.